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About gradient normalization #29

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julightzhong10 opened this issue Aug 17, 2021 · 0 comments

julightzhong10 commented Aug 17, 2021

Hi,

Thanks for the great work. I think gradient normalization is a reasonable idea to extend GC. But I notice 2 points which is confused to me:

The gradient which size is greater than 1 is centralized by the mean and all the gradient (which is not filtered by the size ) are normalized by the std, is this an empirically better implementation or it is just a bug.
Also I notice the calculation dimension of mean and std in gradient normalization is different, which is not very intuitive to me.

Thanks for the reply.

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